期刊
OPTICS LETTERS
卷 44, 期 13, 页码 3410-3413出版社
OPTICAL SOC AMER
DOI: 10.1364/OL.44.003410
关键词
-
类别
资金
- Russian Science Foundation (RSF) [17-72-30006]
- Russian Science Foundation [17-72-30006] Funding Source: Russian Science Foundation
By combining machine learning methods and the dispersive Fourier transform we demonstrate, to the best of our knowledge, for the first time the possibility to determine the temporal duration of picosecond-scale laser pulses using a nanosecond photodetector. A fiber figure of eight lasers with two amplifiers in a resonator was used to generate pulses with durations varying from 28 to 160 ps and spectral widths varied in the range of 0.75-12 nm. The average power of the pulses was in the range from 40 to 300 mW. The trained artificial neural network makes it possible to predict the pulse duration with the mean agreement of 95%. The proposed technique paves the way to creating compact and low-cost feedback for complex laser systems. (C) 2019 Optical Society of America
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据